Exploring 32 Lockdown Learning Bioinformatics Along More Deseq2
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- Countdown: 0:00 Introduction: 4:59 Writing to a file: 12:00 Reading into Excel: 15:07 Starting A549 Analysis: 28:40 Restarting ...
- A basic task in the analysis of count data from RNA-seq is the detection of differentially expressed genes.
- Countdown: 0:00 Introduction: 4:31 Heatmaps: 11:38 GO enrichment: 21:54 Fold Change Comparison: 46:50 Lesson #40 finishes ...
- In lesson #28 we read CSV data into R, using the tidyverse package readr. I also introduce dplyr and magrittr. Walk through a ...
- ... some of the genes maybe further away that's
In-Depth Information on 32 Lockdown Learning Bioinformatics Along More Deseq2
Countdown: 0:00 Introduction: 4:50 Normalisation recap: 10:19 Dispersion: 20:45 Wild improvisation: 30:05 Estimate dispersions: ... In lesson #30 we meet Countdown: 0:00 Introduction: 2:22 PCA: 5:54 Results: 24:23 Filtering: Countdown: 0:00 Introduction: 2:36 DataFrame vs data.frame: 8:06
A walk-through of steps to perform differential gene expression analysis in a dataset with human airway smooth muscle cell lines ...
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